Machine Learning

A Neural Network Model Using Pain Score Patterns to Predict the Need for Outpatient Opioid Refills Following Ambulatory Surgery: Algorithm Development and Validation

Rodney Allanigue Gabriel, Sierra Simpson, William Zhong, Brittany Nicole Burton, Soraya Mehdipour, Engy Tadros Said

JMIR Perioper Med 2023;6:e40455

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Explainable Machine Learning Techniques To Predict Amiodarone-Induced Thyroid Dysfunction Risk: Multicenter, Retrospective Study With External Validation

Ya-Ting Lu, Horng-Jiun Chao, Yi-Chun Chiang, Hsiang-Yin Chen

J Med Internet Res 2023;25:e43734

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Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review

Carl Thomas Berdahl, Lawrence Baker, Sean Mann, Osonde Osoba, Federico Girosi

JMIR AI 2023;2:e42936

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Nurses’ Work Concerns and Disenchantment During the COVID-19 Pandemic: Machine Learning Analysis of Web-Based Discussions

Haoqiang Jiang, Arturo Castellanos, Alfred Castillo, Paulo J Gomes, Juanjuan Li, Debra VanderMeer

JMIR Nursing 2023;6:e40676

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The Effects of a Health Care Chatbot’s Complexity and Persona on User Trust, Perceived Usability, and Effectiveness: Mixed Methods Study

Joshua Biro, Courtney Linder, David Neyens

JMIR Hum Factors 2023;10:e41017

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Mining the Influencing Factors and Their Asymmetrical Effects of mHealth Sleep App User Satisfaction From Real-world User-Generated Reviews: Content Analysis and Topic Modeling

Mingfu Nuo, Shaojiang Zheng, Qinglian Wen, Hongjuan Fang, Tong Wang, Jun Liang, Hongbin Han, Jianbo Lei

J Med Internet Res 2023;25:e42856

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Sensing Psychological Well-being Using Social Media Language: Prediction Model Development Study

Nuo Han, Sijia Li, Feng Huang, Yeye Wen, Xiaoyang Wang, Xiaoqian Liu, Linyan Li, Tingshao Zhu

J Med Internet Res 2023;25:e41823

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Gastroenteritis Forecasting Assessing the Use of Web and Electronic Health Record Data With a Linear and a Nonlinear Approach: Comparison Study

Canelle Poirier, Guillaume Bouzillé, Valérie Bertaud, Marc Cuggia, Mauricio Santillana, Audrey Lavenu

JMIR Public Health Surveill 2023;9:e34982

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Prediction of Next Glucose Measurement in Hospitalized Patients by Comparing Various Regression Methods: Retrospective Cohort Study

Andrew D Zale, Mohammed S Abusamaan, John McGready, Nestoras Mathioudakis

JMIR Form Res 2023;7:e41577

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Black and Latinx Primary Caregiver Considerations for Developing and Implementing a Machine Learning–Based Model for Detecting Child Abuse and Neglect With Implications for Racial Bias Reduction: Qualitative Interview Study With Primary Caregivers

Aviv Y Landau, Ashley Blanchard, Nia Atkins, Stephanie Salazar, Kenrick Cato, Desmond U Patton, Maxim Topaz

JMIR Form Res 2023;7:e40194

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A Machine Learning Approach to Support Urgent Stroke Triage Using Administrative Data and Social Determinants of Health at Hospital Presentation: Retrospective Study

Min Chen, Xuan Tan, Rema Padman

J Med Internet Res 2023;25:e36477

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Artificial Intelligence in Medicine: Text Mining of Health Care Workers’ Opinions

Pascal Nitiéma

J Med Internet Res 2023;25:e41138

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Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence–Based Tools in Critical Care: Web-Based Survey Study

Eric Mlodzinski, Gabriel Wardi, Clare Viglione, Shamim Nemati, Laura Crotty Alexander, Atul Malhotra

JMIR Perioper Med 2023;6:e41056

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Development of an Artificial Intelligence–Guided Citizen-Centric Predictive Model for the Uptake of Maternal Health Services Among Pregnant Women Living in Urban Slum Settings in India: Protocol for a Cross-sectional Study With a Mixed Methods Design

Rahul Shrivastava, Manmohan Singhal, Mansi Gupta, Ashish Joshi

JMIR Res Protoc 2023;12:e35452

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An Ensemble Learning Approach to Improving Prediction of Case Duration for Spine Surgery: Algorithm Development and Validation

Rodney Allanigue Gabriel, Bhavya Harjai, Sierra Simpson, Austin Liu Du, Jeffrey Logan Tully, Olivier George, Ruth Waterman

JMIR Perioper Med 2023;6:e39650

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Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach

Ah Young Kim, Eun Hye Jang, Seung-Hwan Lee, Kwang-Yeon Choi, Jeon Gue Park, Hyun-Chool Shin

J Med Internet Res 2023;25:e34474

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Predicting Risky Sexual Behavior Among College Students Through Machine Learning Approaches: Cross-sectional Analysis of Individual Data From 1264 Universities in 31 Provinces in China

Xuan Li, Hanxiyue Zhang, Shuangyu Zhao, Kun Tang

JMIR Public Health Surveill 2023;9:e41162

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Predicting Patient Satisfaction With Medications for Treating Opioid Use Disorder: Case Study Applying Natural Language Processing to Reviews of Methadone and Buprenorphine/Naloxone on Health-Related Social Media

Samaneh Omranian, Maryam Zolnoori, Ming Huang, Celeste Campos-Castillo, Susan McRoy

JMIR Infodemiology 2023;3:e37207

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An End-to-End Natural Language Processing Application for Prediction of Medical Case Coding Complexity: Algorithm Development and Validation

He Ayu Xu, Bernard Maccari, Hervé Guillain, Julien Herzen, Fabio Agri, Jean Louis Raisaro

JMIR Med Inform 2023;11:e38150

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Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine

Pulakesh Upadhyaya, Kai Zhang, Can Li, Xiaoqian Jiang, Yejin Kim

JMIR Med Inform 2023;11:e38266

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